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SAN JOSE, CA -- (Marketwire) -- 03/28/12 -- MapR Technologies, Inc., the provider of the industry's most advanced distribution for Apache Hadoop, today announced today that Chief Application Architect Ted Dunning will be a featured speaker at SNW Spring, taking place on April 2 - 5, 2012 at the Omni Dallas Hotel in Dallas, TX.

The session entitled: "Hadoop -- Big Data storage for 1/10th the cost," will be held on Tuesday, April 3 at 10:45 a.m. Mr. Dunning will examine new innovative approaches to better leverage Hadoop in order to address Big Data's full potential. This presentation will discuss ease of administration, data protection and performance in order to help storage administrators evaluate Hadoop as a network-based system for storing and analyzing.

"As the amount of data generated continues to explode, the ability to dig deep into it and analyze it becomes critical for accurate and effective decision-making," said Ted Dunning. "In order to better uncover valuable information contained within the data, companies are increasingly turning to Hadoop to unlock the hidden value and patterns inherent in the data. With Hadoop, data is processed in place and only results are sent over the network. This is in contrast to slower, less scalable approaches where data is stored on physical disks making evaluation a time-consuming, complex, expensive process and identifying critical data patterns hard to find."

For more information on SNW Spring visit: https://www.eiseverywhere.com/ehome/index.php?eventid=30283&

About MapR Technologies
MapR delivers on the promise of Hadoop, making managing and analyzing Big Data a reality for more business users. The award-winning MapR Distribution brings unprecedented dependability, speed and ease-of-use to Hadoop combined with data protection and business continuity, enabling customers to harness the power of Big Data analytics. The company is headquartered in San Jose, CA. Investors include Lightspeed Venture Partners, NEA and Redpoint Ventures. To download the latest MapR Distribution for Apache Hadoop, please visit http://www.mapr.com/products/download